Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome R package contsurvplot version 0.2.3 Graphically display the (causal) effect of a continuous variable on a time-to-event outcome using multiple different types of plots based on g-computation. Those functions include, among others, survival area plots, survival contour plots, survival quantile plots and 3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally. For details, see Robin Denz, Nina Timmesfeld (2023) <doi:10.1097/EDE.0000000000001630>. Software Imports: ggplot2 (>= 3.4.0), dplyr, rlang, riskRegression, foreach Suggests: survival, pammtools, gganimate, transformr, plotly, reshape2, doParallel, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr (>= 1.0.0), covr Robin Denz <robin.denz@rub.de> Comprehensive R Archive Network (CRAN) Robin Denz [aut, cre] GPL (>= 3) 2026-01-29 application/tgz https://CRAN.R-project.org/package=contsurvplot doi:10.32614/CRAN.package.contsurvplot